2021

机器学习 (🍉📕) | Zhi-Hua Zhou. | most chapters (twice).

Pattern Recognition and Machine Learning | CM Bishop. | most chapters

Decision Making Under Uncertainty Theory and Application | Mykel J. Kochenderfer. | most chapters

Understanding Machine Learning from theory to Application | Shai Shalev-Shwartz and Shai Ben-David | part Ⅰ.

神经网络与深度学习 (Neural Networks and Deep Learning) | Xi-Peng Qiu | part Ⅰ part Ⅱ.

C++ 程序设计 | Jia-Yun Chen | most chapters

Artificial Intelligence: A Modern Approach | Stuart Russell and Peter Norvig | The first four chapters ( Chapter 3 :Solving Problems by Searching is very enlightening).

Python深度学习：基于PyTorch | Mao-Gui Wu | most Chapters and Experiments.

2020

统计学习方法 | Hang Li. | most chapters

CLRS (算法导论) | Thomas H. Cormen, Charles E. Leiserson, Ronald L. Rivest and Clifford Stein. | most chapters

计算机系统基础 | Chun-Feng Yuan | most chapters

围城 | 钱钟书 | all